Patients Perceptions of Artificial Intelligence in a Deep Learning-Assisted Diabetic Retinopathy Screening Event: A Real-World Assessment.
Fernando Korn MalerbiBeatriz Mezzomo VenturaMariana FischerFernando Marcondes PenhaPublished in: Journal of diabetes science and technology (2024)
During an artificial intelligence (AI)-assisted diabetic retinopathy screening event, we performed a survey on patients´ perceptions on AI. Respondents were individuals with diabetes, mostly followed in primary healthcare with a low education level. While 49.6% of participants said they knew what AI was, only 14% reported good or expert knowledge of AI. The vast majority reported positive feelings towards AI in healthcare. We highlight the importance of understanding patients´ views regarding AI in health in a real-life situation and emphasize the importance of digital education.
Keyphrases
- artificial intelligence
- healthcare
- deep learning
- diabetic retinopathy
- machine learning
- end stage renal disease
- big data
- ejection fraction
- newly diagnosed
- chronic kidney disease
- type diabetes
- prognostic factors
- peritoneal dialysis
- primary care
- optical coherence tomography
- metabolic syndrome
- quality improvement
- climate change
- skeletal muscle
- risk assessment
- cardiovascular disease
- health information
- social media
- human health
- glycemic control